Remote monitoring of sleep disorder using FBG sensors and FSO transmission system enabled smart vest

被引:6
作者
Kanwal, Firdos [1 ]
Atieh, Ahmad [2 ]
Ghafoor, Salman [3 ]
Anwar-ul Haq [1 ]
Qureshi, Khurram Karim [4 ]
Aziz, Imran [5 ,6 ]
Mirza, Jawad [7 ]
机构
[1] Mirpur Univ Sci & Technol, Dept Elect Engn, Mirpur Ajk, Pakistan
[2] Optiwave Syst Inc, Ottawa, ON, Canada
[3] Natl Univ Sci & Technol, Sch Elect Engn & Comp Sci SEECS, Islamabad, Pakistan
[4] King Fahd Univ Petr & Minerals, Ctr Commun Syst & Sensing, Elect Engn Dept, Dhahran, Saudi Arabia
[5] Uppsala Univ, Dept Phys & Astron, S-75120 Uppsala, Sweden
[6] SEECS Photon Res Grp, Islamabad, Pakistan
[7] HITEC Univ Taxila, Elect Engn Dept, Taxila, Pakistan
来源
ENGINEERING RESEARCH EXPRESS | 2024年 / 6卷 / 02期
关键词
remote monitoring; sleep disorder; FBG sensors; BRAGG GRATING SENSORS; FIBER; DEVICES; LASER;
D O I
10.1088/2631-8695/ad48da
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Optical sensors, particularly fiber Bragg grating (FBG) sensors have achieved a fast ingress into the fields of medical diagnostic and vital signs monitoring. Wearable smart textiles equipped with FBG sensors are catching huge research attention in different applications for measurement and monitoring of physiological parameters. In this paper, we report a simple technique for remote monitoring of sleep disorder using a smart vest implemented with four FBG stress sensors located at different sides of the vest and free space optics (FSO) transmission system. The sleep disorder of the patient is monitored in real time through shifts in the original Bragg wavelengths of sensors by stress loading during random changes in patient's sleeping postures. The reflected wavelength from a stress loaded sensor at a certain posture is transmitted over 0.5 km long FSO channel towards remote medical center, photodetected, and then can be processed in a PC to record the restlessness in a certain time interval in terms of total number of times sleeping postures are changed, total time spent at a certain posture etc. To correctly detect the stress loaded FBG sensor at the medical center, various parameters of FBG sensors and demultiplexer are carefully adjusted to minimize the power leakages from unloaded sensors that may result into errors in the detection. Maximum dynamic range around 45 dB has been achieved ensuring accurate detection. This study not only provides a cost-efficient and non-intrusive solution for monitoring the sleep disorder of patients but also can be used for real-time monitoring of various other ailments, such as lung, brain, and cardiac diseases in future.
引用
收藏
页数:12
相关论文
共 43 条
[1]   Development of FBG pressure sensors using FDM technique for monitoring sleeping postures [J].
Abro, Zamir Ahmed ;
Hong, Chengyu ;
Zhang, Yifan ;
Siddiqui, Muhammad Qasim ;
Abbasi, Abdul Malik Rehan ;
Abro, Zafarullah ;
Tariq, Syed Qutaba Bin .
SENSORS AND ACTUATORS A-PHYSICAL, 2021, 331
[2]   Prevalence of sleep disorders among university students and its impact on academic performance [J].
Al Salmani, Asma Ali ;
Al Shidhani, Asma ;
Al Qassabi, Shatha Saud ;
Al Yaaribi, Shahad Ahmed ;
Al Musharfi, Aysha Muslem .
INTERNATIONAL JOURNAL OF ADOLESCENCE AND YOUTH, 2020, 25 (01) :974-981
[3]  
[Anonymous], 2019, Experimental Data Provided by Vendor OptiSystem Software under the Governmentally Funded Project NSERC/Card1 538 408-18
[4]  
[Anonymous], Technical specifications for environmental monitoringof groundwater (HJ 164-2020)
[5]  
[Anonymous], Sleep Disorders
[6]  
[Anonymous], Accuracy of sleep trackers
[7]  
[Anonymous], 2016, Sleep Studies
[8]   Examining relationships between sleep posture, waking spinal symptoms and quality of sleep: A cross sectional study [J].
Cary, Doug ;
Jacques, Angela ;
Briffa, Kathy .
PLOS ONE, 2021, 16 (11)
[9]  
Daroff R.B., 2014, ENCY NEUROLOGICAL SC, DOI [10.1016/b978-0-12-385157-4.00047-6, DOI 10.1016/B978-0-12-385157-4.00047-6]
[10]   FBG-Based Mattress for Heart Rate Monitoring in Different Breathing Conditions [J].
De Tommasi, Francesca ;
Massaroni, Carlo ;
Caponero, Michele Arturo ;
Carassiti, Massimiliano ;
Schena, Emiliano ;
Lo Presti, Daniela .
IEEE SENSORS JOURNAL, 2023, 23 (13) :14114-14122